{"id":"W6887298024","doi":"10.15468/dl.xqkxg2","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009934566,0.001906032,0.001584039,0.005333761,0.001006173,0.003027071,0.002820102,0.00190017,0.2029759],"category_scores_gemma":[0.006641833,0.0009547613,0.001215342,0.01099108,0.0004279583,0.002555962,0.002771903,0.002026391,0.2790239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613469,"about_ca_system_score_gemma":0.002496646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02047379,"about_ca_topic_score_gemma":0.03298014,"domain_scores_codex":[0.9989157,0.0001433303,0.0001469587,0.0003838508,0.0002333769,0.0001767665],"domain_scores_gemma":[0.9974137,0.0007510731,0.0002328456,0.0006635278,0.0006479919,0.0002908948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002408145,0.000008856284,0.0003194516,0.0005319504,0.00001279048,0.00001283118,0.00002237651,0.00009685436,0.00008356506,0.0003658865,0.9970213,0.001500146],"study_design_scores_gemma":[0.00005336316,0.000005975772,0.001328531,0.0001778599,0.00001180365,0.00003048488,0.00006723437,0.0001088833,0.000139577,0.0007253255,0.9973367,0.00001424914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003028364,0.0000253763,0.00004414425,0.00003541894,0.00001137239,0.000004933745,0.9987702,0.0003740927,0.0007041402],"genre_scores_gemma":[0.0001424843,0.00004080908,0.0002136673,0.00004956951,0.000003965725,0.00004453097,0.9987082,0.000187203,0.000609391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7970241,"threshold_uncertainty_score":0.679022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}